Verany, Nunky Febilia (2022) Aplikasi Pemograman Python Dalam Pengolahan Data Gravitasi Satelit Menggunakan Metode Derivatif Dalam Identifikasi Struktur Bawah Permukaan Pada Zona Panas Bumi Gunung Patuha, Jawa Barat. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Metode gravitasi dapat diaplikasikan untuk mengetahui struktur patahan zona panas bumi dengan memanfaatkan variasi distribusi densitas batuan. Data gravitasi yang diolah adalah data satelit gravitasi GGMplus 2013 berupa titik koordinat dan percepatan gravitasi pada zona panas bumi area Gunung Patuha. Pengolahan data dilakukan dengan software Jupyter Notebook dengan bahasa pemrograman Python. Data gravitasi satelit diproses dengan melakukan koreksi raw data hingga didapatkan nilai Simple Bouguer Anomaly (SBA) dan selanjutnya data dianalisis dan divisualisasikan dengan menggunakan library visualisasi pemrograman Python. Kemudian, dari hasil visualisasi dilakukan analisis anomali regional dan residual. Dengan menerapkan metode Derivative, First Horizontal Derivative (FHD) dan Second Vertical Derivative (SVD), dapat menunjukkan struktur patahan pada daerah penelitian. Hasil akhir berupa interpretasi kualitatif yang terdiri dari penampang anomali Bouguer lengkap, penampang anomali regional, dan anomali residual. didapatkan pola kontur anomali densitas daerah penelitian. Kemudian hasil interpretasi kuantitatif didapatkan analisis derivatif berupa grafik FHD dan SVD yang dapat menentukan keberadaan struktur patahan di daerah penelitian. Hasil kualitatif dan kuantitatif dapat digunakan sebagai penunjang dalam menentukan zona reservoir panas bumi di daerah Gunung Patuha
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The gravity method can be applied to determine the fault structure of the geothermal zone by utilizing variations in the distribution of rock density. Gravity data processed is GGMplus 2013 gravity satellite data in the form of coordinates and acceleration of gravity in the geothermal zone of Mount Patuha area. Data processing is done with Jupyter Notebook software with Python programming language. The satellite gravity data is processed by correcting the raw data until the Simple Bouguer Anomaly (SBA) value is obtained and then the data is analyzed and visualized using the Python programming visualization library. Then, from the visualization results, regional and residual anomaly analysis was performed. By applying the Derivative, First Horizontal Derivative (FHD) and Second Vertical Derivative (SVD) methods, it is possible to show the fault structure in the study area. The final result is a qualitative interpretation consisting of a simple Bouguer anomaly section, a regional anomaly section, and a residual anomaly. The density anomaly contour pattern of the study area was obtained. Then the results of the quantitative interpretation obtained derivative analysis in the form of FHD and SVD graphs which can determine the presence of fault structures in the study area. Qualitative and quantitative results can be used as a support in determining the geothermal reservoir zone in the Mount Patuha area.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSGf 531.14 Ver a-1 2022 |
| Uncontrolled Keywords: | GGMplus 2013, Gunung Patuha, Filter Derivatif, Python |
| Subjects: | Q Science > Q Science (General) > Q180 Gravitation. |
| Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geophysics Engineering > 33201-(S1) Undergraduate Thesis |
| Depositing User: | - Davi Wah |
| Date Deposited: | 17 Nov 2023 09:05 |
| Last Modified: | 20 Dec 2024 03:05 |
| URI: | http://repository.its.ac.id/id/eprint/105126 |
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